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Record W4367023794 · doi:10.1021/cen-10035-buscon18

Business Roundup

2022· article· en· W4367023794 on OpenAlexaboutno aff

Bibliographic record

VenueC&EN Global Enterprise · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicChemistry and Chemical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalizationQuarter (Canadian coin)Work (physics)BusinessProduct lineCommerceIndustrial organizationOperations managementEngineeringManufacturing engineeringMechanical engineering

Abstract

fetched live from OpenAlex

Solvay will work with Iberdrola to build a solar farm to power its chemical plants in Tavaux and Saint-Fons, France. Solvay says the facility will include around 100,000 photovoltaic modules and be one of the largest such installations in Europe. Arkema is boosting the size of its Pebax elastomer expansion in Serquigny, France, from 25% to 40%, because of strong demand. The company will have some of the capacity on line during the first quarter of 2023 and the rest in the third quarter. General Motors is investing in the battery recycling company Lithion Recycling. The companies will work together to ensure that Lithion’s materials can be used to make batteries and that GM’s batteries are easily recycled. Calyxt , a company that genetically engineers plants to make chemicals, is considering strategic alternatives such as selling its assets, licensing technology, or merging. Calyxt’s market capitalization has fallen by about 87%

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.002
GPT teacher head0.180
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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